Anomaly/Intrusion Detection: Design, Development and Testing

Center for Connected and Automated Transportation/Research/Research from the University of Michigan/Anomaly/Intrusion Detection: Design, Development and Testing

Anomaly/Intrusion Detection: Design, Development and Testing

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Headshot of David LeBlanc. The link directs to their bio page.

David LeBlanc
The University of Michigan Transportation Research Institute Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

David LeBlanc, Associate Research Scientist – The University of Michigan Transportation Research Institute

Project Abstract:
The objective of this project was to address the testing of vehicle network intrusion detection systems. Intrusion detection systems are designed to detect and sometimes mitigate vehicle data bus messages that are unfamiliar and possibly malicious. This project involved UMTRI developing a concept of operations and associated set of functional requirements addressing intrusion detection, and then developing and applying testing methods to production vehicles in order to show the ability to assess selected aspects of the candidate systems. The final report for this project will not be publicly available.

Institution(s): University of Michigan Transportation Research Institute

Award Year: 2017

Research Thrust(s): Control & Operations, Enabling Technology

Project Form(s):

Project Information Form